Therapeutic inertia in the management of dyslipidaemia and hypertension in incident type 2 diabetes and the resulting risk factor burden: real‐world evidence from primary care.

2021 ◽  
Author(s):  
Joanna Z.J. Ling ◽  
Olga Montvida ◽  
Kamlesh Khunti ◽  
Anthony L. Zhang ◽  
Charlie C. Xue ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Risk Factor ◽  
Real World ◽  
Incident Type ◽  
Therapeutic Inertia ◽  
Real World Evidence ◽  
Incident Type 2 Diabetes ◽  
Risk Factor Burden

scholarly journals Incident type 2 diabetes and risk of fracture: a comparative cohort analysis using UK primary care records

2020 ◽  
Author(s):  
Gabrielle S Davie ◽  
Kingshuk Pal ◽  
Elizabeth Orton ◽  
Edward G Tyrrell ◽  
Irene Petersen
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Lifestyle Changes ◽  
Health Improvement ◽  
Prevalence Rates ◽  
Risk Of Fracture ◽  
Incident Type ◽  
Increased Risk ◽  
Incident Type 2 Diabetes

<b>Objective </b>To estimate risk of fracture in men and women with recent diagnosis of type 2 diabetes compared to individuals without diabetes. <p><b>Research Design and Methods<strong> </strong></b>In this cohort study we used routinely-collected UK primary care data from The Health Improvement Network. In adults (>35 years) diagnosed with type 2 diabetes between 2004-2013 fractures sustained until 2019 were identified and compared to fractures sustained in individuals without diabetes. Multivariable models estimated time to first fracture following diagnosis of diabetes. Annual prevalence rates included at least one fracture in a given year. <strong></strong></p> <p><strong>Results </strong>Among 174,244 individuals with incident type 2 diabetes and 747,290 without diabetes, there was no increased risk of fracture among males with diabetes (adjusted hazards ratio (aHR) 0.97 (95%CI 0.94, 1.00)) and a small reduced risk among females (aHR 0.94, (95%CI 0.92, 0.96)). In those aged 85 years and over those in the diabetes cohort were at significantly lower risk of incident fracture (Males: aHR 0.85, 95%CI 0.71, 1.00; Females: aHR 0.85, 95%CI 0.78, 0.94). For those in the most deprived areas, aHRs were 0.90 (95%CI 0.83, 0.98) for males and 0.91 (95%CI 0.85, 0.97) for females. Annual fracture prevalence rates, by sex, were similar for those with and without type 2 diabetes.</p> <p><strong>Conclusion We found </strong>no evidence to suggest a higher risk of fracture following diagnosis of type 2 diabetes. After a diagnosis of type 2 diabetes individuals should be encouraged to make positive lifestyle changes, including undertaking weight-bearing physical activities that improve bone health.</p>

scholarly journals Spousal diabetes status as a risk factor for incident type 2 diabetes: a prospective cohort study and meta-analysis

2019 ◽  
Vol 56 (6) ◽  
pp. 619-629 ◽  
Author(s):  
Duke Appiah ◽  
Pamela J. Schreiner ◽  
Elizabeth Selvin ◽  
Ellen W. Demerath ◽  
James S. Pankow
Keyword(s):  
Type 2 Diabetes ◽  
Risk Factor ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Incident Type ◽  
Diabetes Status ◽  
Incident Type 2 Diabetes

scholarly journals Incident type 2 diabetes and risk of fracture: a comparative cohort analysis using UK primary care records

2020 ◽  
Author(s):  
Gabrielle S Davie ◽  
Kingshuk Pal ◽  
Elizabeth Orton ◽  
Edward G Tyrrell ◽  
Irene Petersen
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Lifestyle Changes ◽  
Health Improvement ◽  
Prevalence Rates ◽  
Risk Of Fracture ◽  
Incident Type ◽  
Increased Risk ◽  
Incident Type 2 Diabetes

<b>Objective </b>To estimate risk of fracture in men and women with recent diagnosis of type 2 diabetes compared to individuals without diabetes. <p><b>Research Design and Methods<strong> </strong></b>In this cohort study we used routinely-collected UK primary care data from The Health Improvement Network. In adults (>35 years) diagnosed with type 2 diabetes between 2004-2013 fractures sustained until 2019 were identified and compared to fractures sustained in individuals without diabetes. Multivariable models estimated time to first fracture following diagnosis of diabetes. Annual prevalence rates included at least one fracture in a given year. <strong></strong></p> <p><strong>Results </strong>Among 174,244 individuals with incident type 2 diabetes and 747,290 without diabetes, there was no increased risk of fracture among males with diabetes (adjusted hazards ratio (aHR) 0.97 (95%CI 0.94, 1.00)) and a small reduced risk among females (aHR 0.94, (95%CI 0.92, 0.96)). In those aged 85 years and over those in the diabetes cohort were at significantly lower risk of incident fracture (Males: aHR 0.85, 95%CI 0.71, 1.00; Females: aHR 0.85, 95%CI 0.78, 0.94). For those in the most deprived areas, aHRs were 0.90 (95%CI 0.83, 0.98) for males and 0.91 (95%CI 0.85, 0.97) for females. Annual fracture prevalence rates, by sex, were similar for those with and without type 2 diabetes.</p> <p><strong>Conclusion We found </strong>no evidence to suggest a higher risk of fracture following diagnosis of type 2 diabetes. After a diagnosis of type 2 diabetes individuals should be encouraged to make positive lifestyle changes, including undertaking weight-bearing physical activities that improve bone health.</p>

Sleep Duration as a Risk Factor for Incident Type 2 Diabetes in a Multiethnic Cohort

2009 ◽  
Vol 19 (5) ◽  
pp. 351-357 ◽  
Author(s):  
Deborah A. Beihl ◽  
Angela D. Liese ◽  
Steven M. Haffner
Keyword(s):  
Type 2 Diabetes ◽  
Risk Factor ◽  
Sleep Duration ◽  
Incident Type ◽  
Multiethnic Cohort ◽  
Incident Type 2 Diabetes

scholarly journals Predicting diabetes clinical outcomes using longitudinal risk factor trajectories

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Gyorgy J. Simon ◽  
Kevin A. Peterson ◽  
M. Regina Castro ◽  
Michael S. Steinbach ◽  
Vipin Kumar ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Factor ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Cumulative Exposure ◽  
Diabetic Patients ◽  
Incident Type ◽  
Incident Type 2 Diabetes ◽  
Electronic Health

Abstract Background The ubiquity of electronic health records (EHR) offers an opportunity to observe trajectories of laboratory results and vital signs over long periods of time. This study assessed the value of risk factor trajectories available in the electronic health record to predict incident type 2 diabetes. Study design and methods Analysis was based on a large 13-year retrospective cohort of 71,545 adult, non-diabetic patients with baseline in 2005 and median follow-up time of 8 years. The trajectories of fasting plasma glucose, lipids, BMI and blood pressure were computed over three time frames (2000–2001, 2002–2003, 2004) before baseline. A novel method, Cumulative Exposure (CE), was developed and evaluated using Cox proportional hazards regression to assess risk of incident type 2 diabetes. We used the Framingham Diabetes Risk Scoring (FDRS) Model as control. Results The new model outperformed the FDRS Model (.802 vs .660; p-values <2e-16). Cumulative exposure measured over different periods showed that even short episodes of hyperglycemia increase the risk of developing diabetes. Returning to normoglycemia moderates the risk, but does not fully eliminate it. The longer an individual maintains glycemic control after a hyperglycemic episode, the lower the subsequent risk of diabetes. Conclusion Incorporating risk factor trajectories substantially increases the ability of clinical decision support risk models to predict onset of type 2 diabetes and provides information about how risk changes over time.

Delayed heart rate recovery after exercise as a risk factor of incident type 2 diabetes mellitus after adjusting for glycometabolic parameters in men

2016 ◽  
Vol 221 ◽  
pp. 17-22 ◽  
Author(s):  
Tae Yang Yu ◽  
Jae Hwan Jee ◽  
Ji Cheol Bae ◽  
Won-Jung Hong ◽  
Sang-Man Jin ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Heart Rate ◽  
Type 2 Diabetes Mellitus ◽  
Risk Factor ◽  
Heart Rate Recovery ◽  
Incident Type ◽  
Incident Type 2 Diabetes

scholarly journals Incident Type 2 Diabetes and Risk of Fracture: A Comparative Cohort Analysis Using U.K. Primary Care Records

Diabetes Care ◽  
2020 ◽  
Vol 44 (1) ◽  
pp. 58-66
Author(s):  
Gabrielle S. Davie ◽  
Kingshuk Pal ◽  
Elizabeth Orton ◽  
Edward G. Tyrrell ◽  
Irene Petersen
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Cohort Analysis ◽  
Risk Of Fracture ◽  
Incident Type ◽  
Incident Type 2 Diabetes

scholarly journals ADAMTS13 activity as a novel risk factor for incident type 2 diabetes mellitus: a population-based cohort study

Diabetologia ◽  
2016 ◽  
Vol 60 (2) ◽  
pp. 280-286 ◽  
Author(s):  
Paul S. de Vries ◽  
Thijs T. W. van Herpt ◽  
Symen Ligthart ◽  
Albert Hofman ◽  
M. Arfan Ikram ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Risk Factor ◽  
Cohort Study ◽  
Population Based ◽  
Adamts13 Activity ◽  
Incident Type ◽  
Incident Type 2 Diabetes
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